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15 Results

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Poster
Tue 18:30 Hierarchical Clustering Beyond the Worst-Case
Vincent Cohen-Addad · Varun Kanade · Frederik Mallmann-Trenn
Poster
Tue 18:30 Matrix Norm Estimation from a Few Entries
Ashish Khetan · Sewoong Oh
Poster
Tue 18:30 Tensor Biclustering
Soheil Feizi · Hamid Javadi · David Tse
Poster
Mon 18:30 From which world is your graph
Cheng Li · Felix MF Wong · Zhenming Liu · Varun Kanade
Poster
Mon 18:30 Learning A Structured Optimal Bipartite Graph for Co-Clustering
Feiping Nie · Xiaoqian Wang · Cheng Deng · Heng Huang
Poster
Tue 18:30 Learning Overcomplete HMMs
Vatsal Sharan · Sham Kakade · Percy Liang · Gregory Valiant
Poster
Tue 18:30 On the Optimization Landscape of Tensor Decompositions
Rong Ge · Tengyu Ma
Poster
Mon 18:30 Multitask Spectral Learning of Weighted Automata
Guillaume Rabusseau · Borja Balle · Joelle Pineau
Poster
Mon 18:30 Hierarchical Methods of Moments
Matteo Ruffini · Guillaume Rabusseau · Borja Balle
Poster
Tue 18:30 Optimal Shrinkage of Singular Values Under Random Data Contamination
Danny Barash · Matan Gavish
Poster
Mon 18:30 Scalable Levy Process Priors for Spectral Kernel Learning
Phillip Jang · Andrew Loeb · Matthew Davidow · Andrew Wilson
Poster
Mon 18:30 Predictive State Recurrent Neural Networks
Carlton Downey · Ahmed Hefny · Byron Boots · Geoffrey Gordon · Boyue Li